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Goeppinger G.

Goeppinger G.

AI Data Analyst / Machine Learning Evaluation Specialist — Axon Enterprise (Machine Learning Evaluation & Dataset QA)

USA flagMesa, Usa

Key Skills

Software

TelusTelus
MercorMercor
Label StudioLabel Studio

Top Subject Matter

AI model evaluation
NLP dataset validation
and RLHF-style feedback workflows

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
SegmentationSegmentation
Computer Programming/CodingComputer Programming/Coding
Question AnsweringQuestion Answering
Text GenerationText Generation
Text SummarizationText Summarization
RLHFRLHF
Fine-tuningFine-tuning
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
TranscriptionTranscription
CuboidCuboid
Point/Key PointPoint/Key Point
PolylinePolyline
Bounding BoxBounding Box
PolygonPolygon
Data CollectionData Collection
Red TeamingRed Teaming
Function CallingFunction Calling
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

AI Data Analyst / Machine Learning Evaluation Specialist — Axon Enterprise (Machine Learning Evaluation & Dataset QA). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Python. Education includes Master of Science, Arizona State University (2022) and Bachelor of Science, Northern Arizona University (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Analyst / Machine Learning Evaluation Specialist — Axon Enterprise (Machine Learning Evaluation & Dataset QA)

TextText

Served as an AI data analyst and machine learning evaluation specialist, focusing on assessing model outputs and improving dataset quality for supervised machine learning workflows. Designed structured evaluation frameworks and conducted error analysis to identify model weaknesses and inform training improvements. Supported NLP and AI training pipelines through dataset preprocessing, labeling, and structured data preparation with an emphasis on annotation accuracy and consistency. • Evaluated LLM/model response quality using structured scoring and response ranking criteria • Performed error analysis and failure detection to refine training effectiveness • Prepared, cleaned, and validated large-scale labeled datasets for supervised ML • Documented evaluation criteria and maintained QA standards for annotation consistency

2022 - Present

Data Analyst / Backend Developer — Carvana

TextText

Worked as a data analyst and backend developer supporting machine learning-related analytics and dataset preparation activities used for training and evaluation. Built backend data services and REST APIs to provide structured insights that support AI-driven applications. Contributed to structured dataset preparation for machine learning training and evaluation while optimizing data pipelines for performance and reliability. • Supported structured dataset preparation for ML training and evaluation • Developed analytics data services and REST APIs supporting AI-driven workflows • Conducted large-scale customer behavior analysis with Python and SQL • Optimized SQL queries and data pipelines to reduce processing time

2020 - 2022

Education

A

Arizona State University

Master of Science, Computer Science

Master of Science
2020 - 2022
N

Northern Arizona University

Bachelor of Science, Information Technology

Bachelor of Science
2016 - 2020

Work History

A

Axon Enterprise

AI Data Analyst / Machine Learning Evaluation Specialist

Scottsdale
2022 - Present
C

Carvana

Data Analyst / Backend Developer

Tempe
2020 - 2022